
Risk-based analyses in support of California hazardous site remediation
Author(s) -
James T. Ringland
Publication year - 1995
Language(s) - English
Resource type - Reports
DOI - 10.2172/104451
Subject(s) - hazardous waste , national laboratory , agency (philosophy) , environmental remediation , hanford site , risk assessment , risk analysis (engineering) , engineering , risk management , systems engineering , computer science , engineering management , environmental planning , environmental science , business , waste management , radioactive waste , ecology , philosophy , computer security , engineering physics , epistemology , finance , contamination , biology
The California Environmental Enterprise (CEE) is a joint program of the Department of Energy (DOE), Lawrence Livermore National Laboratory, Lawrence Berkeley Laboratory, and Sandia National Laboratories. Its goal is to make DOE laboratory expertise accessible to hazardous site cleanups in the state This support might involve working directly with parties responsible for individual cleanups or it might involve working with the California Environmental Protection Agency to develop tools that would be applicable across a broad range of sites. As part of its initial year`s activities, the CEE supported a review to examine where laboratory risk and risk-based systems analysis capabilities might be most effectively applied. To this end, this study draws the following observations. The labs have a clear role in analyses supporting the demonstration and transfer of laboratory characterization or remediation technologies. The labs may have opportunities in developing broadly applicable analysis tools and computer codes for problems such as site characterization or efficient management of resources. Analysis at individual sites, separate from supporting lab technologies or prototyping general tools, may be appropriate only in limited circumstances. In any of these roles, the labs` capabilities extend beyond health risk assessment to the broader areas of risk management and risk-based systems analysis